Imperial College London


Faculty of MedicineDepartment of Surgery & Cancer

Principal Research Fellow in Human Factors



+44 (0)20 3312 1820p.buckle




1003Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus





Professor Peter Buckle is an expert in human factors and design safety. Buckle is a Fellow and Former President of the Chartered Institute of Ergonomics and Human Factors and is Principal Research Fellow at Imperial College. He is an expert in scientific, systematic, user-centred design to manage risk and improve patient safety. He authored the DoH Design for Patient Safety report, and was  awarded the President’s medal of the Ergonomics Society (2005) for Design Patient Safety Research and the Bartlett medal for distinguished research (2001). He has held Visiting Professorial positions at four leading UK Universities and was Research Professor in Design at the RCA (2013-2015). He is also Director (p/t) of the Robens Institute and led the Ergonomics and Human Factors research and post graduate MSc teaching team at the University of Surrey (1992 to 2009) where he held the title of Professor of Health Ergonomics.



Micocci M, gordon A, Allen J, et al., 2021, COVID-19 testing in English care homes and implications for staff and residents, Age and Ageing, Vol:50, ISSN:0002-0729, Pages:668-672

Stone P, Kalpakidou A, Todd C, et al., 2021, Prognostic models of survival in patients with advanced incurable cancer: the PiPS2 observational study., Health Technol Assess, Vol:25, Pages:1-118

Kierkegaard P, McLister A, Buckle P, 2021, Rapid point-of-care testing for COVID-19: quality of supportive information for lateral flow serology assays, Bmj Open, Vol:11, ISSN:2044-6055

Borsci S, Buckle P, Walne S, 2020, Is the LITE version of the usability metric for user experience (UMUX-LITE) a reliable tool to support rapid assessment of new healthcare technology?, Applied Ergonomics, Vol:84, ISSN:0003-6870

Ni M, Borsci S, Walne S, et al., 2020, The Lean and Agile Multi-dimensional Process (LAMP) - a new framework for rapid and iterative evidence generation to support health-care technology design and development, Expert Review of Medical Devices, Vol:17, ISSN:1743-4440, Pages:277-288

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